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Gemma 3n E4B Instructed LiteRT Preview vs Llama-3.3 Nemotron Super 49B v1
Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed LiteRT Preview leads with 26.3% higher average benchmark score. Gemma 3n E4B Instructed LiteRT Preview supports multimodal inputs. Overall, Gemma 3n E4B Instructed LiteRT Preview is the stronger choice for coding tasks.
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Gemma 3n E4B Instructed LiteRT Preview is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
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NVIDIA
Llama-3.3 Nemotron Super 49B v1 is a language model developed by NVIDIA. This model demonstrates exceptional performance with an average score of 81.0% across 7 benchmarks. It excels particularly in MATH-500 (96.6%), MT-Bench (91.7%), MBPP (91.3%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
2 months newer
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
Average performance across 32 common benchmarks
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Gemma 3n E4B Instructed LiteRT Preview
Average Score:44.0%(+26.3%)
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Llama-3.3 Nemotron Super 49B v1
Average Score:17.7%
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Knowledge Cutoff
Training data recency comparison
Llama-3.3 Nemotron Super 49B v1
2023-12-31
Gemma 3n E4B Instructed LiteRT Preview
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3n E4B Instructed LiteRT Preview
0 providers
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Llama-3.3 Nemotron Super 49B v1
0 providers
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Gemma 3n E4B Instructed LiteRT Preview
Avg Score:44.0%(+26.3%)
Providers:0
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Llama-3.3 Nemotron Super 49B v1
Avg Score:17.7%
Providers:0